NOV 16, 2023 9:00 AM PST

Unleashing the Power of AI in Biotech: 5 Actionable Insights from Ganymede, Snthesis, and SciNote

Sponsored by: SciNote
Speakers

Event Date & Time
Date: November 16, 2023
Time: 9:00 AM (PT), 12:00 PM (ET)
Abstract
The digital transformation of the field of biotech R&D is accelerating, driven by the integration of artificial intelligence (AI) and machine learning (ML). These technologies are reshaping the way biotech companies approach, analyze, and interpret vast amounts of data, paving the way for more informed decision-making and innovative breakthroughs.

However, as AI innovation has been happening so fast, what actions can companies take to keep on top of it all?

Join us for a conversation with experts in the space as they discuss the current landscape of AI use in biotech, best practices and platforms that your team can leverage right now to ready your lab and data for AI/ML, and our predictions of how AI/ML will develop in the biotech industry in the future.
 
Our esteemed experts include:
  • Brendan McCorkle, CEO of SciNote, a leading electronic lab notebook designed to streamline scientific data documentation.
  • Nathan Clark, CEO and Co-Founder of Ganymede, a company that liberates scientific data by connecting every instrument and app into one FAIR data layer. Their Lab-as-Code technology powers data automation, providing rich data for compliance and AI/ML applications.
  • Emerson Huitt, CEO and Founder of Snthesis, a company that develops and provides a software that is purposely built to automatically ingest, consolidate, and harmonize structured and unstructured data from disparate systems and sources. The result is one harmonized dataset with a unified view.

In this webinar, you'll learn about:

  • How to best navigate the current landscape of AI and ML innovation in biotech R&D and what current and upcoming platforms biotech teams can leverage now and in the new year to transform their data management
  • Real-world applications and case studies showcasing the transformative impact of AI on biotech research.
  • Best practices and challenges faced by leading biotech companies in ensuring data readiness and enablement for AI applications. 
 
 
 
Webinars will be available for unlimited on-demand viewing after live event.
 
 

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